A Machine Learning project that classifies the Iris flowers into their respective three species- Setosa, Versicolor and Virginica.
The project uses Scikit Learn, a Python machine learning library, as well as Pandas for data analysis, Numpy for handling the arrays, Seaborn and Matplotlib for data visualisation.
I have experimented with four algorithms to create models that classify the species accordingly through supervised learning: K Nearest Neighbor, Support Vector Machine, Decision Tree and Stochastic Gradient Descent. Each models have varied levels of accuracy.